Results 181 to 190 of about 1,874,615 (320)
Rheological analysis in food processing: factors, applications, and future outlooks with machine learning integration. [PDF]
Chen Y +6 more
europepmc +1 more source
Thickness‐Dependent Skyrmion Evolution in Fe3GeTe2 During Magnetization Reversal
Thickness‐ and field‐dependent magnetic domain behavior in 2D van der Waals Fe3GeTe2 is studied using Lorentz TEM and micromagnetic simulations. A patch‐like domain phase evolves from skyrmions during magnetization reversal, and step edges between thickness regions act as pinning sites.
Jennifer Garland +9 more
wiley +1 more source
Cost-effective microfabrication of sub-micron-depth channels by femto-laser anti-stiction texturing
Shadi Karimi +3 more
openalex +2 more sources
Local cues enable classification of image patches as surfaces, object boundaries, or illumination changes. [PDF]
DiMattina C +3 more
europepmc +1 more source
A dual‐binder dry‐processed electrode (DB‐DPE) combining PTFE and PVDF with a nanostructured Al current collector (NSA) forms a mechanically interlocked interface that significantly improves adhesion and reduces interfacial resistance. With an active material content as high as 96 wt.%, the NSA‐based DB‐DPE enables high‐mass‐loading operation (12.5 mAh
Seok Yun Kim +4 more
wiley +1 more source
Texture Analysis with MTEX – Free and Open Source Software Toolbox
F. Bachmann, R. Hielscher, H. Schaeben
semanticscholar +1 more source
Optimization of drying parameters and texture properties of winter jujube slices by radio frequency combined with hot air [PDF]
Yang Li +8 more
openalex +1 more source
A FeN4─O/Clu@NC‐0.1Ac catalyst containing atomically‐dispersed FeN4─O sites (medium‐spin Fe2+) and Fe clusters delivered a half‐wave potential of 0.89 V for ORR and an overpotential of 330 mV at 10 mA cm−2 for OER in 0.1 m KOH. When the catalyst was used in a rechargeable Zn–air battery, a power density of 284.5 mW cm−2 was achieved with excellent ...
Yongfang Zhou +8 more
wiley +1 more source
Comparison of Recognition Techniques to Classify Wear Particle Texture [PDF]
Mohammad Shakeel Laghari +5 more
openalex +1 more source

